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http://dx.doi.org/10.5762/KAIS.2018.19.4.25

Iterative Self-Interference Channel Estimation for In-Band Full-Duplex Cellular Systems  

Shin, Changyong (School of Mechanical and ICT Convergence Engineering, Sun Moon University)
Ryu, Young Kee (School of Mechanical and ICT Convergence Engineering, Sun Moon University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.19, no.4, 2018 , pp. 25-33 More about this Journal
Abstract
In this paper, we propose an iterative self-interference (SI) channel estimation method for in-band full-duplex cellular systems that employ orthogonal frequency division multiple access (OFDMA) on downlink (DL) and single-carrier frequency division multiple access (SC-FDMA) on uplink (UL), as in Long Term Evolution (LTE) systems. The proposed method first acquires coarse estimates of SI channels using DL signals and UL pilots, which are known to the base stations, and then refines the estimates by consecutively exploiting averaging in the frequency domain and channel truncation in the time domain. In addition, the method enhances the estimates further by iteratively executing this estimation procedure, and does not require any radio resources dedicated to SI channel estimation. Simulation results demonstrate that by significantly improving the SI channel estimation performance without requiring exact knowledge of the SI channel length, the proposed method achieves UL channel estimation performance and signal-to-interference-plus-noise ratio (SINR) performance very close to those in perfect SI cancellation.
Keywords
Channel Estimation; Full-Duplex; Iterative Method; LTE System; Self-Interference;
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